code: def number_of_workers():
      """
      Get suitable quantity of workers based on empirical formula.
      """
      return (multiprocessing.cpu_count() * 2) + 1
  
imports: import argparse
  import os
  import platform
  import json
  import multiprocessing
  import time
  import signal
  import paddlehub
  from paddlehub.commands import register
  from paddlehub.serving import app_compat
  from paddlehub.env import CONF_HOME
  from paddlehub.serving.http_server import run_all, StandaloneApplication
  from paddlehub.utils import log
  from paddlehub.utils.utils import is_port_occupied
  from paddlehub.server.server import CacheUpdater
label_desc: Use image node_id 1 for calling a global function with example usage: number_of_workers() and returns: unknown